1 to 25 of 606 Databricks Jobs in the UK

Site Reliability Engineering (SRE), and the ability to work under tight deadlines. Databases & Tools knowledge: Microsoft SQL Server (administration, T-SQL, DML, DDL, SSIS), Databricks, Power BI.Experience in Azure Technologies: ADLS, ADF, Azure SQL Database, Delta Lake, Azure DevOps, Logic Apps, Function Apps, Key Vaults, Storage Accounts. Infrastructure & Automation: Terraform ...

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

data or technology roles, such as architecture, operations, and design related disciplines. At least three years of experience in Azure (Azure Synapse, Azure Databricks, Fabric, PySpark). Comprehensive experience with data modelling Experience across a range of other IT functional disciplines will be of benefit, including: Data Platform tools ...

container orchestration (Kubernetes, Docker). Certifications & Tools Familiarity with data visualisation and UI tools (Power BI, PowerApps, Tableau). Experience with modern data platforms (Databricks, Snowflake). Cloud certifications (Azure, AWS, GCP) and experience with cloud-native data engineering tools (e.g., ADF, AWS Glue, GCP Dataflow). Other Requirements Minimum ...

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

such as MongoDB or Cassandra Erwin Data Modeler, ER/Studio or similar modelling tools TOAD or equivalent SQL development tools Azure Data Factory, Databricks or other modern data platforms Git, Azure DevOps or similar version control tools Power BI or other BI platforms PL/ ...

secure, and high-performing data solutions. Excellent communication skills with the ability to engage both technical and non-technical stakeholders. Any experience with Fabric, Databricks, Snowflake, DevOps, data migration projects, or financial services environments would be highly advantageous. What you'll get in returnCompetitive salary package. Generous private healthcare provision. ...

production environments. Required Skills & Experience Proven experience as a Data Engineer in enterprise environments. Strong hands-on experience with: Azure Data Factory (ADF) Azure Databricks Azure Synapse Analytics Azure Data Lake SQL Python Experience designing and developing ETL/ELT pipelines. Strong understanding of data modelling and data warehousing principles. ...

more programming or query languages such as SQL, PL/SQL, Python, Java, Ruby or R.Experience with relevant modern data technologies such as BigQuery, Databricks, Snowflake, MongoDB, Hadoop, Redis, Kafka or similar. The ability to select technologies based on scalability, performance, security, interoperability and business requirements. Experience documenting complex architectures ...

foundation in SQL, dimensional modeling, and ELT/ETL design, with production experience on a modern cloud data warehouse or lakehouse (for example Snowflake, Databricks, BigQuery, Redshift, or Synapse) and a transformation framework such as dbt. Experience applying software engineering practices to analytics work, including Git-based workflows, automated testing ...

data governance, security, quality and platform performance. Confidence working independently, making technical decisions and communicating with stakeholders. Exposure to Azure Data Factory, Azure Databricks or other Microsoft data services. An interest in AI, automation and emerging technologies within data engineering. Interested? If you're an experienced data engineer or analytics ...

reporting best practice.· Experience with Azure data services such as Azure Data Factory, Azure Synapse Analytics, Azure SQL, Data Lake Storage or Databricks would be advantageous.· Understanding of data governance, security, access control, data quality and data lifecycle management.· Ability to troubleshoot data platform, refresh, integration, performance and configuration issues. ...

Strong stakeholder management and communication skills. Experience delivering within large-scale public sector or enterprise transformation programmes. Desirable Skills Microsoft Fabric Azure Data Factory Databricks Azure DevOps SQL Server Oracle Cloud environments DevSecOps and Infrastructure as Code practices TOGAF, Azure Architecture, or Microsoft Power BI certifications What We're Looking ...

basics: comfortable with Git (branching, committing, reading diffs) Desirable (bonus points) Python, PySpark or Spark SQL, enough to read pipeline code and trace transformations Databricks, including Unity Catalog and medallion (bronze-silver-gold) architecture Azure or AWS data services (e.g. Data Factory, Synapse, S3, Glue, Redshift) Data testing tools such ...

Extensive experience defining and delivering data architectures in large-scale, enterprise or transformation programmes. • Proven expertise designing cloud-native data platforms, including MS Fabric, Databricks and AWS • Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). • Experience with modern data transformation approaches — familiarity with analytics engineering ...

Infrastructure-as-Code (Terraform preferred). Experience with containerisation (Docker) and orchestration platforms (Kubernetes/EKS). Certifications & Tools Exposure to enterprise data platforms (Databricks, Snowflake, BigQuery, or similar). Cloud certifications (AWS, Azure, GCP) are beneficial but not required. Other Requirements Minimum 3 years experience working on data engineering ...

cases. You may work with technologies and architectural approaches including, but not limited to: Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data ...

cases. You may work with technologies and architectural approaches including, but not limited to: Cloud platforms: AWS, Azure and GCP Modern data platforms: Databricks, Snowflake and cloud-native data services Data architecture: Lakehouse, medallion, data mesh and domain-oriented patterns Data processing: Apache Spark, SQL and distributed processing technologies Data ...

Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Databricks Data Engineer BU/Segment: Analytics/Data Management/Insurance Domain Location: London, United Kingdom (Hybrid, 3-4 days in the office) Employment Type … Permanent to start ASAP Summary of the role: We’re looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Insurance portfolio . You’ll work across data engineering, modelling, and transformation initiatives — building scalable pipelines, optimising ...

modelling and ETL/ELT concepts Experience implementing data validation and testing processes Strong communication and stakeholder engagement skills Desirable Skills Azure Data Factory Databricks Synapse Analytics Microsoft Fabric Azure SQL Data Lake technologies Experience within regulated sectors Cloud-based data platform experience ...

experience as a Data Engineer, building and maintaining data pipelines Strong Python and PySpark skills Experience with Azure data services such as Synapse, Databricks or Data Factory Good SQL and data modelling skills Confidence working with stakeholders to turn business needs into data solutions Desirable: Microsoft Fabric, Tableau administration, Power ...

experience in computer science engineering, or a related field. Strong programming skills in languages such as Python, Java, or Scala. Hands-on experience with Databricks, SQL, and data modelling. Proficiency with big data tools (e.g., Apache Spark, Apache Kafka, Presto, etc.) and cloud services (e.g., Azure, AWS, GCP).Familiarity with ...

Data Engineering, Data Warehousing, Data Modelling, Data Quality, Data Integration, Data Analytics, Data Visualisation, Data Science and Business Intelligence. Confident in delivering solutions using Databricks & developing and optimising data pipelines using PySpark within Databricks environments. Proven experience building, publishing, and supporting dashboards and reports using Power BIStrong experience and programming … well as a familiarity with different development methodologies and disciplines (e.g. Agile, Waterfall Scrum, DevOps, Testing).Experience of DevOps and infrastructure deployments (Azure and Databricks).Ideally, you'll also have: Delivery experience using the following technology: SAS (SAS EG, SAS DI, SAS Viya).Relational Databases and Data Warehousing concepts. Enterprise ...

Retail, among others. Headquartered in New York, our team is over 60,000 strong, with more than 50 offices spanning six continents. Role Title: Databricks Data Engineer BU/Segment: Analytics/Data Management Location: Leeds, United Kingdom (Hybrid, 1-2 days in the office) Employment Type: Permanent to start … ASAP Summary of the role: Were looking for a highly skilled Azure Databricks Data Engineer to design, develop and deliver cloud-based data integration and analytics solutions within our Retail portfolio . Youll work across data engineering, modelling and transformation initiatives, building scalable pipelines, optimising performance and ensuring best practices ...

Strong communication skills with the ability to engage business stakeholders STEM-related academic background Desirable experience: Snowflake Cortex, AI applications, or document processing solutions Databricks or similar cloud analytics platforms CI/CD, Azure DevOps, or software development lifecycle processes Identity resolution, record matching, or master data management initiatives What ...